A self-supervised deep learning approach to synthesize weighted images and T1, T2, and PD parametric maps based on MR physics priors
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| Natura: | Recurso digital |
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2021
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| _version_ | 1866901754478592000 |
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| author | Moya-Sáez, Elisa de Luis-García, Rodrigo Alberola-López, Carlos |
| author_facet | Moya-Sáez, Elisa de Luis-García, Rodrigo Alberola-López, Carlos |
| contents | <p><strong>Abstract 2169, <em>2021 ISMRM & SMRT Annual Meeting & Exhibition, 15-20 May 2021, Virtual</em></strong></p> |
| format | Recurso digital |
| id | zenodo_https___doi_org_10_5281_zenodo_14621442 |
| institution | Zenodo |
| language | |
| publishDate | 2021 |
| publisher | Zenodo |
| record_format | zenodo |
| spellingShingle | A self-supervised deep learning approach to synthesize weighted images and T1, T2, and PD parametric maps based on MR physics priors Moya-Sáez, Elisa de Luis-García, Rodrigo Alberola-López, Carlos <p><strong>Abstract 2169, <em>2021 ISMRM & SMRT Annual Meeting & Exhibition, 15-20 May 2021, Virtual</em></strong></p> |
| title | A self-supervised deep learning approach to synthesize weighted images and T1, T2, and PD parametric maps based on MR physics priors |
| url | https://doi.org/10.5281/zenodo.14621442 |